from Utils.process_data import scale_X,random_shuffle_whole_supervised_data,log_X,PCA_X

def pre_train(X,y=None):
    X, y = random_shuffle_whole_supervised_data(X,y)
    return scale_X(X),y

def per_iter(X):
    return X

def per_epoch(X):
    return X
